The Artificial Intelligence Show
Podcast

The Artificial Intelligence Show

by Paul Roetzer and Mike Kaput

63 episodes

The Artificial Intelligence Show (formerly The Marketing AI Show) is the podcast that helps your business grow smarter by making AI approachable and actionable. The AI Show podcast is brought to you by the creators of the Marketing AI Institute, AI Academy for Marketers, and the Marketing AI Conference (MAICON). Hosts Paul Roetzer, founder and CEO of Marketing AI Institute, and Mike Kaput, Chief Content Officer, break down all the AI news that matters and give you insights and perspectives that you can use to advance your company and your career. Join Paul and Mike on The AI Show as they work to accelerate AI literacy for all.
Ask about The Artificial Intelligence ShowAnswers are grounded in this source's posts from the last 30 days.

Recent Posts

63 posts
#181: AI Answers - Measuring AI Skills, Aligning Leaders, AI Literacy Frameworks, Overcoming Resistance & Preparing for AI Agents

Recent analysis suggests Google (GOOGL) is taking a lead in the AI race with its powerful Gemini 3 model, which is being deeply integrated into core products like Search and Sheets. A major new partnership between OpenAI and Intuit (INTU) presents another key opportunity, positioning Intuit to embed an expert AI financial advisor directly into its software. This integration could create significant new revenue streams and make its QuickBooks and Quicken products indispensable for users. This mirrors the strategy of Microsoft (MSFT), which is enhancing Excel with its Copilot AI, highlighting a dominant investment theme. Investors should focus on these established companies that are leveraging their vast distribution channels to monetize cutting-edge AI.

#179: OpenAI Government “Backstop” Controversy, Microsoft Humanist Superintelligence, Google’s Future of Learning, AI Driving Layoffs & Coca-Cola AI Ad Backlash

Big Tech's massive spending on AI infrastructure presents a clear investment theme for the foreseeable future. Consider NVIDIA (NVDA) as a primary beneficiary, as it supplies the essential computing power for this technological build-out. The major cloud providers themselves, including Microsoft (MSFT), Google (GOOGL), and Amazon (AMZN), are also strong long-term investments as they build out their AI capabilities. Meta (META) is another key company to watch due to its aggressive capital expenditures in the AI space. Investors should focus on these foundational companies that are both funding and enabling the AI revolution.

#178: OpenAI’s Automated AI Researcher, OpenAI Restructuring, The Fed Warns About AI’s Impact on Hiring, Nvidia Hits $5 Trillion & Wharton Data on AI ROI

For exposure to the AI revolution through an established leader, consider Microsoft (MSFT), which owns a 27% stake in OpenAI and has exclusive access to its models until 2032. As the primary "picks and shovels" play, Nvidia (NVDA) continues to dominate by providing the essential hardware powering the entire AI industry. Investors should also monitor the highly anticipated OpenAI IPO, which could occur as early as 2026 and reshape the tech landscape. The core investment thesis driving these opportunities is the AI-driven automation of labor, a multi-trillion dollar market shift. Ultimately, both MSFT and NVDA are key companies positioned to capitalize on this long-term trend.

#177:  AI Answers - AI Ethics, Flagging AI Content, AI Accuracy, Book Recommendations, & AI Intellectual Property

Focus on companies using AI for transformational innovation, as those who only optimize for small gains risk becoming obsolete. Google (GOOGL) is a high-conviction investment due to its deep commitment to capturing the AI market through enterprise solutions and education. Beyond the tech giants, consider leaders in AI adoption like Moderna (MRNA), HubSpot (HUBS), and McDonald's (MCD), which are using AI to drive internal innovation. These companies demonstrate that a strong internal AI strategy is a key indicator of future competitiveness. As AI agents become more common, also look for opportunities in cybersecurity firms poised to address emerging security threats.

#176: ChatGPT Atlas, ChatGPT Atlas Security Issues, Letter to Pause Superintelligence, Amazon’s Plan to Automate 600,000 Jobs & New Data on AI Relationships

The foundational investment theme remains the build-out of AI Infrastructure and Data Centers, which is a durable, multi-year driver of economic growth. Consider Amazon (AMZN) a long-term holding, as its plan to automate 75% of its operations by 2033 presents a clear path to higher profit margins. View Tesla (TSLA) as a core AI and robotics company, where progress in its Full Self-Driving software directly accelerates the development of its Optimus humanoid robot. While Google (GOOGL) faces new AI competition, investors should watch for announcements of AI upgrades to its Chrome browser as a key catalyst. These technology leaders represent high-conviction opportunities as they are building the fundamental applications that will define the next decade.

#175: AI Answers - AI for 10X Innovation, Rethinking GTM, Dangers of Progress at All Costs, Autonomous Marketing, How to Keep Up with AI, and Future of Web Traffic

Shopify's (SHOP) partnership with OpenAI is a significant bullish catalyst, opening a massive new sales channel through ChatGPT. The broader AI "arms race" is accelerating, and investors should focus on the dominant platform companies leading the charge, such as Google (GOOGL) and Microsoft (MSFT). Google's ability to integrate AI into its existing billion-user products provides a key competitive advantage in this race. While Tesla's (TSLA) self-driving technology shows progress, full autonomy remains a distant, high-risk investment. Finally, be cautious of companies claiming to have fully autonomous agents, as this technology is currently overhyped.

#174: ChatGPT’s Getting More “Adult,” MAICON 2025 Takeaways, AI’s Impact on Talent, Claude Haiku 4.5 & Anthropic’s Feud with the White House

Google (GOOGL) is a high-conviction investment due to its powerful Gemini AI integration in Workspace and its leadership in the disruptive AI video generation market. A major emerging opportunity is the application of AI for service and "blue-collar" industries, creating a bullish case for software companies that build "smarter back offices" for contractors. The rapid advancement in AI video is poised to upend the advertising and media production industries by drastically cutting costs. Investors should be cautious of the significant political risks facing some private AI firms, which could create turbulence for public backers like Google and Amazon (AMZN). Meanwhile, Spotify (SPOT) is strategically reducing its legal risk by partnering with record labels for its AI development, making it a potentially safer long-term play.

#173: OpenAI Dev Day, AI Gets Political, Sora Copyright Drama Continues, Gemini Enterprise & AI’s Impact on Job Hunting

The primary investment theme is AI's disruption of the $13 trillion+ U.S. labor market, creating a foundational, long-term opportunity. NVIDIA (NVDA) remains a top conviction holding, as massive capital raises by AI labs like XAI are directly earmarked for its next-generation chips, signaling incredibly strong and sustained demand. Google (GOOGL) is a key software play, aggressively launching new monetized AI products like Gemini Enterprise and a consumer subscription that create new, recurring revenue streams. A rumored launch of its next-generation Gemini 3 model within the next 30 days could act as a near-term catalyst for the stock. Investors should focus on these core enablers of the AI-driven automation trend.

#172:  Sora 2, Claude Sonnet 4.5, ChatGPT Instant Checkout, How OpenAI Uses AI, Grokipedia & Mercor’s AI Productivity Index

Consider reducing exposure to the SaaS sector, as companies like HubSpot (HUBS) face direct threats from foundational AI models building their own internal tools. The massive compute spending by AI labs reinforces the long-term bull case for "picks and shovels" plays like NVIDIA (NVDA). Watch for a potential catalyst for Google (GOOGL) with the expected launch of its Gemini 3 model in October. Apple's (AAPL) strategic pivot to AI-powered smart glasses validates the market that Meta (META) has been investing in heavily. This sets up a major competitive battle between the two giants for the future of personal computing, with a potential product release targeted for 2027.

#171: AI Answers - AI in Regulated Industries, AI Agents, AI Training, When AI Gets It Wrong, and Critical Skills for Early-Career Pros

Google (GOOGL) is a core long-term AI holding, with the upcoming Gemini 3 release expected around October serving as a potential catalyst for the stock. Investors should also focus on software companies like HubSpot (HUBS) that are successfully integrating AI agents to drive significant operational efficiencies. A major risk is emerging for media companies as AI models like OpenAI's upcoming Sora 2 may aggressively challenge existing copyright law. This poses a direct threat to companies like Disney (DIS), whose business models rely heavily on protecting their intellectual property. The massive "adoption gap" in advanced AI represents the key long-term opportunity, favoring tech leaders who can capitalize on it while disrupting established industries.

#170: How ChatGPT Is Used at Work, New GDPval Benchmark, AI “Workslop,” ChatGPT Pulse, Meta Vibes & More AI Economy Warnings

The massive new partnership with OpenAI solidifies NVIDIA (NVDA) as the essential hardware provider for the entire AI industry, signaling immense and sustained demand for its chips. As the primary public beneficiary of OpenAI's dominance, Microsoft (MSFT) is strategically positioned to capture the enterprise AI market by embedding these advanced tools into its 365 Copilot suite. In contrast, investors should be cautious with Meta (META), whose poorly received AI-generated video product raises significant questions about its product strategy and ability to translate spending into user value. The broader economic trend suggests prioritizing companies like Walmart (WMT) and Accenture (ACN) that are aggressively using AI for productivity to create a competitive advantage. Overall, the highest conviction opportunity remains with the core enablers of the AI revolution, primarily NVDA and MSFT.

#169: AI Answers - AI for Job Searching, Cutting Through the AI Noise, SEO vs. GEO/AEO, The Loss of Critical Thinking & How AI Is Reshaping Education

For exposure to the Artificial Intelligence theme, focus on large, established platform companies as they represent the safest and highest-conviction opportunities. Google (GOOGL) is presented as a top-tier, long-term bet due to the deep integration of its Gemini AI across its profitable ecosystem. Similarly, Microsoft (MSFT) is a strong blue-chip investment, leveraging its enterprise channels and strategic partnership with OpenAI to drive AI adoption. Avoid smaller, specialized AI startups as they face a high risk of failure or acquisition within the next 18 months. The most prudent strategy is to invest in these foundational "picks and shovels" providers rather than speculative, niche application companies.

#168: The AI Economy, How People Use ChatGPT, AI-Native Companies, Meta Ray-Ban Display AI Glasses & How Americans View AI

Consider investing in the "picks and shovels" of the AI Economy by looking for public companies that provide the data and human expertise needed to train AI models. Companies like Fiverr (FVRR) are aggressively restructuring to become leaner "AI-first" operations, which could provide a long-term competitive advantage. Media giants such as Disney (DIS), Warner Brothers Discovery (WBD), and Comcast (CMCSA) are defending their intellectual property, which may unlock future high-margin AI licensing revenue. While Google (GOOGL) remains an AI leader, be cautious of the growing legal risks from publishers suing over its AI search features. Finally, monitor the initial sales and reviews of Meta's (META) new Ray-Ban display glasses, as success could signal a major new hardware platform, though it remains a high-risk bet.

#167: OpenAI-Microsoft Deal, Replit Agent 3, AI Avatars for Executives, OpenAI-Oracle Deal, FTC Targets AI Companions & Retail AI Case Studies

Microsoft (MSFT) is a top consideration, offering direct public market exposure to OpenAI's growth through its deep partnership and planned 30% ownership stake. Oracle (ORCL) is another high-conviction play after its historic cloud deal with OpenAI validated it as a critical AI infrastructure provider with long-term growth potential. Beyond infrastructure, investors should look at the AI in Retail theme where companies are already seeing tangible results. For example, Walmart (WMT), Amazon (AMZN), and Albertsons (ACI) are demonstrating a clear competitive advantage by using AI to optimize supply chains and improve profitability. While a future OpenAI IPO will be a major event, these public partners offer the most immediate investment opportunities.

#166: OpenAI Jobs Platform, Salesforce AI Job Cuts, White House AI Education Initiative & OpenAI Secondary Sale and Cash Burn

Salesforce (CRM) is a compelling investment as it is actively using its AgentForce AI to cut thousands of jobs, directly boosting profit margins through significant cost savings. With a major antitrust risk now removed, Google (GOOGL) is positioned to benefit from its AI leadership, especially with a potential partnership to power Apple's Siri. This potential deal with Apple represents a massive future revenue catalyst for Google. As a key supplier in the AI ecosystem, consider Broadcom (AVGO), which is now developing custom AI chips for OpenAI, signaling its expanding role in the hardware supply chain. Overall, focus on companies that are proving they can use AI to drive tangible efficiency gains, as this is a primary driver of near-term value.

#165: AI Replacing Young Workers, AI Industry Gets Political, Google’s “Nano Banana,” ChatGPT Parental Controls & Anthropic Settles Author Lawsuit

A massive, well-funded political effort to protect the AI industry from heavy regulation is a significant tailwind for the entire sector. Continued massive demand for NVIDIA (NVDA) hardware is confirmed, as Microsoft's new foundation model alone required 15,000 H100 GPUs for training. Google (GOOGL) is showing strong competitive positioning with its Gemini AI ranking as the clear #2 generative AI app, countering the narrative that it is falling behind. Investors should be cautious with Meta Platforms (META), as the company is showing signs of significant execution risk with high-profile researcher resignations and lagging consumer adoption of its AI products. Consider looking for opportunities in the AI companionship space, as app data reveals this is a massive and potentially underestimated consumer market driving AI adoption.

#163: AI Answers - AI Environmental Concerns, Agentic Workflows, SEO Impact, The Future of Creative Careers, & Human-First Processes

The massive build-out of AI is creating a long-term investment cycle in the foundational layers of AI Infrastructure and Energy. As a direct "picks and shovels" play, consider Oracle (ORCL), which recently secured a $1 billion deal to power an OpenAI data center. This trend also benefits other major cloud providers like Amazon (AMZN) and Google (GOOGL) as they expand their data center capacity. The immense power demand is bullish for energy and utility companies that can provide reliable power to the grid. Conversely, investors should re-evaluate companies heavily dependent on traditional Search Engine Optimization (SEO), as their business models are at risk from AI-powered search.

#162: GPT-5’s Messy Launch, Meta’s Troubling AI Child Policies, Demis Hassabis’ AGI Timeline & New Sam Altman / Elon Musk Drama

The primary investment theme is AI Infrastructure, as industry leaders signal plans to spend trillions, creating a massive long-term tailwind for chipmakers and data centers. Consider Alphabet (GOOGL) as a potential long-term value play, as the market may be significantly underappreciating its DeepMind AI division. Some analysts speculate DeepMind's standalone value could be between $500 billion to $1 trillion, representing a major hidden asset within GOOGL. For chipmakers, a recent deal allowing NVIDIA (NVDA) and AMD (AMD) to continue selling to China in exchange for a 15% revenue share reduces a major geopolitical risk. This arrangement provides crucial revenue stability by removing the immediate threat of a complete market ban.